Print Course syllabus
Course syllabus - Artificial Intelligence
Scope
7.5 credits
Course code
CDT312
Valid from
Autumn semester 2013
Education level
First cycle
Progressive Specialisation
G2F (First cycle, has at least 60 credits in first-cycle course/s as entry requirements).
Main area(s)
Computer Science
School
School of Innovation, Design and Engineering
Ratified
2013-01-25
Status
This syllabus is not current and will not be given any more
Literature lists
Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.
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Books
Artificial intelligence : a modern approach
3.,[updated] ed. : Boston : Pearson Education, cop. 2010 - xviii, 1132 s.
ISBN: 9780132071482 (pbk.) LIBRIS-ID: 11712972
Objectives
The aim of this course is to cover theories as well as techniques that are fundamental to artificial intelligence.
Learning outcomes
Students that have successfully finished this course will be able to:
- Describe mile stones of AI and relate them to computer science as well as other fields
- Implement software that can use most common AI-problems
- Define the size and characteristics of a search space for a given problem and suggest suitable AI algorithm and representation
Course content
- Representation of information using trees, logics, STRIPS, etc.
- Search algorithms: breath-first, depth-first, iterative deepening, informed search. Reasoning using logics. Planning. Introduction to learning
Specific requirements
Mathematics from three years of upper secondary school with science profile. Practical and theoretical competences in Datastructures and algorithms, Object oriented programming (like C, C++ or java) and at least one additional course with a programming project that has "data structures and algorithms" as a prerequisit. Examples to such courses are "Operating systems" and "Functional programming".
Examination
Written examination at home (TEN1), 4,5 credits, marks 3, 4 or 5
Exercise, laboratory work, (LAB1), 3 credits, marks Pass (G)
A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.
Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.
Grade
Pass with distinction, Pass with credit, Pass, Fail